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Expanded Swerling target models

机译：扩展抖动目标模型

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摘要

Radar target fluctuation models were first introduced by Swerling in the 1950s and they proved to be very useful. Swerling soon realized, however, that his original four models were inadequate and generalized them through use of the gamma distribution. These generalized results still had serious limitations in modeling fluctuating targets. For some targets the Swerling I correlated model produced an overly pessimistic value for PD at large signal-to-noise ratios (SNRs) while the Swerling III correlated model produced an overly optimistic one. As a result, other fluctuation models, such as the log-normal and Weibull, remain useful in spite of their own limitations. Two new models that expand on the generalized Swerling model are presented here. They are physically motivated and can produce the desired PD levels at high SNR values. They are described in detail and both the moment generating functions (MGFs) and PD expressions are determined. They provide a significant advance in our modeling capabilities through their flexibility for modeling many different types of target radar cross section (RCS) responses. These new models apply to both the case where the pulse-to-pulse target responses are correlated as well as the case where they are uncorrelated, thereby overcoming the limitations of the log-normal and Weibull models.
机译：首先在20世纪50年代晃动首先引入雷达目标波动模型，并证明它们非常有用。然而，抖动很快就实现了他原来的四种模型不充分，通过使用伽马分布概括。这些广义的结果仍然对建模的波动目标进行了严重的限制。对于一些目标，抖动I相关模型在大信噪比（SNRS）下产生了针对PD的过于悲观的值，而抖动III相关模型产生过乐观的噪声。结果，尽管有自己的限制，但是，诸如逻辑正常和威布尔之类的其他波动模型仍然有用。这里展示了两个在广义抖动模型上扩展的新模型。它们在物理上动力，可以在高SNR值下产生所需的PD水平。它们详细描述，并且确定了瞬间产生函数（MGF）和PD表达式。它们通过灵活性在模拟功能的灵活性方面提供了显着的提前，用于建模许多不同类型的目标雷达横截面（RCS）响应。这些新模型适用于脉冲到脉冲目标响应的相关情况以及它们不相关的情况，从而克服了日志法线和威布尔模型的限制。

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